Senior Machine Learning Engineer jobs in United States
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Microsoft · 1 day ago

Senior Machine Learning Engineer

Microsoft is a company where innovators come to collaborate, envision what can be and take their careers to higher levels. They are seeking a Senior Machine Learning Engineer to contribute to the development and integration of cutting-edge AI technologies into Microsoft Copilot Studio, ensuring inclusivity, ethics, and impact.

Application Performance ManagementArtificial Intelligence (AI)Business DevelopmentData ManagementDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps
Implement machine learning algorithms, large-scale model fine-tuning, especially with closed and open source LLMs, SLMs, multimodal or task-specific models to solve real-world customer problems and deliver measurable product and customer impact
Contribute to or enhance existing innovations by continuously refining well-established models and training techniques through iterative improvements
Develop evaluation frameworks to assess model performance, monitor model behavior, conduct systematic benchmarking, and address identified weaknesses while ensuring compliance with customer standards
Write efficient production code and debug complex distributed systems
Provide subject matter expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models, reinforcement learning) to help translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact
Demonstrate deep understanding of small and large language models (SLMs and LLMs) architecture and optimization techniques to adapt out-of-the-box solutions to particular business problems

Qualification

Machine LearningAI TechnologiesData ScienceSoftware EngineeringMLOps WorkflowsLLMOps FrameworksApplied AI ResearchProduction SystemsCustomer EmpathyGrowth Mindset

Required

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) or equivalent experience
2+ years of experience with Machine learning or AI-embedded processes
Ability to meet Microsoft, customer and/or government security screening requirements is required for this role

Preferred

Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
Familiar with AI coding assistant, AI IDE, Agentic coding assistant such as GitHub Copilot, and Cursor
2+ years of experience conducting applied AI research in academic or industry settings
2+ year of experience developing and deploying live production systems or AI services
Experience across the product lifecycle from ideation to shipping

Company

Microsoft

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Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

H1B Sponsorship

Microsoft has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)

Funding

Current Stage
Public Company
Total Funding
$1M
Key Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M

Leadership Team

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Satya Nadella
Chairman and CEO
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Vukani Mngxati
Chief Executive Officer - Microsft South Africa
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Company data provided by crunchbase